Franziska Klügl

Franziska Klügl


AASS Research Center
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room T2231
Phone +46 (0)19 30 39 25

Google Scholar

Franziska Klügl is Professor in Information Technology. Her main research interests are related to languages, processes and tools for agent-based simulation.

Despite of their increasing distribution, agent-based simulation models still suffer from lacking formal basis, clear development processes and only limited ways to connect simulation to empirical data for validation. My vision is to develop the ideas of agent-based simulation further so that domain experts without formal training in computer science can produce and use reliable, valid models. This involves research in many areas such as software engineering for simulation, machine learning, human-agent interaction, distributed systems...

Franziska is the Program Responsible for the three year engineering education in computer engineering (Hing Data) and has been elected into the faculty board from January 2019. Since January 2020, she was also appointed Head of Subject Computer Science at Örebro University.

Franziska teaches the basic and advanced software engineering courses in the Högskoleingenjör Computer Engineering Program, the Multiagent Systems course in our Artificial Intelligence and Robotics Master Program and the Agent-based Modeling and Simulation in the 5th year of the Civilingenjörprogram on Industrial Economy. I also developed the MAS course further into a course in the SMART(er) program for working professionals. In this program Marjan Alirezaie and I also teach together the basic introduction to Artificial Intelligence. In previous years, I was responsible for the Artificial Intelligence (2012-2019), Java for User Interfaces and Networking (2015-2018) courses in the HIng Datateknik. I replaced teachers on leave in Human-Computer Interaction as well as in Communication System courses. I particularly like teaching in interdisciplinary settings: for example: I was involved in the programming in courses ordered by Skolverket for educating math and technology teachers, in the Modeling and Simulation course or the Introduction to Digitalization and Computer Science course in the Legal Tech program. As program responsible for the HIng Datateknik program, I also manage the exam work course.

Additionally, Franziska worked as local chair of AAMAS2018 , July 10-15th in Stockholm and was be one of the chairs of the German AI Conference 2020 in Bamberg . She was co-organizer of the ATT2020 Workshop on Agents in Traffic and Transportation (and co-editor of the post-proceedings special issue in AI Communications). Together with Neil Yorke-Smith, I served as the IjCAI2020 Community and Diversity Co-Chair.


[1] F. Klügl. Agent-Based Simulation Engineering.BibTeX | DiVA | PDF ]
[2] M. Lujak, I. Dusparic, F. Klügl and G. Vizzari. Agents in Traffic and Transportation (ATT 2020) : [Special Issue Editorial]. AI Communications, 34(1):1-3, 2021BibTeX | DiVA ]
[3] H. Kyvik Nord\aas and F. Klügl. Drivers of Automation and Consequences for Jobs in Engineering Services : An Agent-Based Modelling Approach. Frontiers in Robotics and AI, 8, 2021BibTeX | DiVA ]
[4] A. L. C. Bazzan and F. Klügl. Experience Sharing in a Traffic Scenario. In ATT2020 Agents in Traffic and Transportation : Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020) Santiago de Compostela, Spain, September 4, 2020., pages 71-78, 2020BibTeX | DiVA | PDF ]
[5] F. Klügl. Multiagentensysteme. In Handbuch der Künstlichen Intelligenz, pages 755-782, 2020BibTeX | DiVA ]
[6] F. Klügl and A. L. C. Bazzan. Accelerating route choice learning with experience sharing in a commuting scenario : An agent-based approach. AI Communications, 34(1):105-119, 2021BibTeX | DiVA ]
[7] F. Klügl and S. Timpf. Approaching Interactions in Agent-Based Modelling with an Affordance Perspective. In Engineering Multi-Agent Systems, pages 21-37, 2018BibTeX | DiVA ]
[8] S. Shahin Moghadam, F. Klügl and F. Prenkert. Investigating the Cannibalizing Effect in a Two-Market Situation Using Agent-Based Simulation. , 51:2:115-120, 2018BibTeX | DiVA ]
[9] S. Shahin Moghadam, F. Prenkert and F. Klügl. Role and Position Dynamics in Business Networks : Using an Agent-Based Model to Simulate the Impact of a New Market Solution on a Focal Actor’s Role and Position. 2018BibTeX | DiVA ]
[10] J. Renoux and F. Klügl. Simulating Daily Activities in a Smart Home for Data Generation. In 2018 Winter Simulation Conference (WSC), pages 798-809, 2018BibTeX | DiVA ]
[11] M. Alirezaie, A. Kiselev, M. Längkvist, F. Klügl and A. Loutfi. An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring. Sensors, 17(11), 2017BibTeX | DiVA | PDF ]
[12] F. Klügl and S. Timpf. Approaching Interactions in Agent-Based Modelling with an Affordance Perspective. In Autonomous Agents and Multiagent Systems : AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers, pages 222-238, 2017BibTeX | DiVA ]
[13] M. Alirezaie, A. Kiselev, F. Klügl, M. Längkvist and A. Loutfi. Exploiting Context and Semantics for UAV Path-finding in an Urban Setting. In Proceedings of the 1st International Workshop on Application of Semantic Web technologies in Robotics (AnSWeR 2017), Portoroz, Slovenia, May 29th, 2017, pages 11-20, 2017BibTeX | DiVA | PDF ]
[14] P. Davidsson, F. Klügl and H. Verhagen. Simulation of Complex Systems. In Springer Handbook of Model-Based Science, pages 783-797, 2017BibTeX | DiVA ]
[15] P. O. Siebers and F. Klügl. What Software Engineering Has to Offer to Agent-Based Social Simulation. In Simulating Social Complexity : A Handbook, pages 81-117, 2017BibTeX | DiVA ]
[16] C. Marmaras, E. Xydas, L. M. Cipcigan, O. Rana and F. Klügl. Electric Vehicles in road transport and electric power networks. In Autonomic Road Transport Support Systems, pages 233-252, 2016BibTeX | DiVA ]
[17] J. Nilsson and F. Klügl. Human-in-the-Loop Simulation of a Virtual Classroom. In Multi-Agent Systems and Agreement Technologies : 13th European Conference, EUMAS 2015, and Third International Conference, AT 2015, Athens, Greece, December 17-18, 2015, Revised Selected Papers, 9571(9571):379-394, 2016BibTeX | DiVA ]
[18] M. Alirezaie, F. Klügl and A. Loutfi. Knowing without telling : integrating sensing and mapping for creating an artificial companion. In Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 11:1-11:4, 2016BibTeX | DiVA ]
[19] F. Klügl. Using the affordance concept for model design in agent-based simulation. Annals of Mathematics and Artificial Intelligence, 78(1):21-44, 2016BibTeX | DiVA | PDF ]
[20] F. Klügl. Affordance-Based Interaction Design for Agent-Based Simulation Models. In Multi-Agent Systems (EUMAS 2014), 8953(8953):51-66, 2015BibTeX | DiVA ]
[21] C. Carrascosa, F. Klügl, A. Ricci and O. Boissier. From Physical to Virtual : Widening the Perspective on Multi-Agent Environments. In Agent Environments for Multi-Agent Systems IV, pages 133-146, 2015BibTeX | DiVA ]
[22] M. Vasirani, F. Klügl, E. Camponogara and H. Hattori. Special issue on intelligent agents in traffic and transportation. Journal of Intelligent Transportation Systems / Taylor & Francis, 19(1):1-2, 2015BibTeX | DiVA ]
[23] A. L. C. Bazzan and F. Klügl. A review on agent-based technology for traffic and transportation. Knowledge engineering review (Print), 29(3):375-403, 2014BibTeX | DiVA ]
[24] C. Carrascosa, F. Klügl and A. Ricci. Virtual Environments 4 MAS. In E4MAS - 10 Years Later. Workshop at AAMAS 2014 2014BibTeX | DiVA ]
[25] F. Klügl and P. Davidsson. AMASON: Abstract Meta-model for Agent-based SimulatiON. In Multiagent System Technologies, pages 101-114, 2013BibTeX | DiVA ]
[26] F. Klügl. Engineering agent-based simulation models?. In Agent-oriented software engineering XIII : revised selected papers, pages 179-196, 2013BibTeX | DiVA ]
[27] A. L. Bazzan and F. Klügl. Introduction to Intelligent Systems in Traffic and Transportation. , pages 137, 2013BibTeX | DiVA ]
[28] R. Junges and F. Klügl. Learning Agent Models in SeSAm : (Demonstration). 2013BibTeX | DiVA | PDF ]
[29] R. Junges and F. Klügl. Learning Tools for Agent-based Modeling and Simulation. Künstliche Intelligenz, 27(3):273-280, 2013BibTeX | DiVA ]
[30] F. Klügl. Multi-Agenten-Systeme. In Handbuch der Künstlichen Intelligenz, pages 999-1007, 2013BibTeX | DiVA ]
[31] A. Louloudi and F. Klügl. Visualisation on demand for agent-based simulation. In Cognitive agents for virtual environments : First International Workshop, CAVE 2012, Held at AAMAS 2012, Valencia, Spain, June 4, 2012, Revised Selected Papers, pages 106-119, 2013BibTeX | DiVA ]
[32] A. Louloudi and F. Klügl. A new framework for coupling agent-based simulation and immersive visualisation. In Proceedings of the 26th European Conference on Modelling and Simulation (ECMS), pages 51-57, 2012BibTeX | DiVA ]
[33] F. Klügl and A. L. Bazzan. Agent-based modeling and simulation. The AI Magazine, 33(3):29-40, 2012BibTeX | DiVA ]
[34] R. Junges and F. Klügl. Behavior abstraction robustness in agent modeling. In Web Intelligence and Intelligent Agent Technology (WIIAT), pages 228-235, 2012BibTeX | DiVA ]
[35] R. Junges and F. Klügl. Behavior modeling from learning agents : sensitivity to objective function details. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012) : volume 3, pages 1335-1336, 2012BibTeX | DiVA ]
[36] R. Junges and F. Klügl. Generating inspiration for agent design by reinforcement learning. Information and Software Technology, 54(6):639-649, 2012BibTeX | DiVA ]
[37] R. Junges and F. Klügl. How to design agent-based simulation models using agent learning. In Winter Simulation Conference Proceedings, pages 1-10, 2012BibTeX | DiVA | PDF ]
[38] A. Louloudi and F. Klügl. Immersive face validation : a new validation technique for agent-based simulation. , pages 1255-1260, 2012BibTeX | DiVA ]
[39] R. Junges and F. Klügl. Programming agent behavior by learning in simulation models. Applied Artificial Intelligence, 26(4):349-375, 2012BibTeX | DiVA ]
[40] A. Lopez-Paredes, B. Edmonds and F. Klügl. Special issue : Agent based simulation of complex social systems. Simulation (San Diego, Calif.), 88(1):4-6, 2012BibTeX | DiVA ]
[41] F. Klügl and G. Rindsfüser. Agent-based route (and mode) choice simulation in real-world networks. In 2011 IEEE/WIC/ACM International Conference on  Web Intelligence and Intelligent Agent Technology (WI-IAT), pages 22-29, 2011BibTeX | DiVA ]
[42] R. Junges and F. Klügl. Evolution for modeling : a genetic programming framework for SeSAm. In GECCO '11 : Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 551-558, 2011BibTeX | DiVA ]
[43] R. Junges and F. Klügl. Modeling agent behavior through online evolutionary and reinforcement learning. In Federated Conference on Computer Science and Information Systems (FedCSIS), 2011, pages 643-650, 2011BibTeX | DiVA ]
[44] F. Klügl and C. Bernon. Self-Adaptive Agents for Debugging Multi-Agent Simulations. In Proc. of the 3rd ADAPTIVE 2011 : The Third International Conference on Adaptive and Self-Adaptive Systems and Applications, pages 79-84, 2011BibTeX | DiVA | PDF ]
[45] A. Louloudi and F. Klügl. Towards a generic connection between agent behaviour and visualisation. 2011BibTeX | DiVA ]
[46] A. Louloudi and F. Klügl. Visualizing agent-based simulation dynamics in a CAVE : issues and architectures. In 2011 Federated Conference on Computer Science and Information Systems (FedCSIS), pages 651-658, 2011BibTeX | DiVA ]
[47] F. Klügl, A. L. C. Bazzan and S. Ossowski. Agents in traffic and transportation Preface. Transportation Research Part C: Emerging Technologies, 18(1):69-70, 2010BibTeX | DiVA ]
[48] R. Junges and F. Klügl. Evaluation of techniques for a learning-driven modeling methodology in multiagent simulation. In Multiagent system technologies, pages 185-196, 2010BibTeX | DiVA ]
[49] R. Junges and F. Klügl. Generating inspiration for multi-agent simulation design by Q-Learning. In MALLOW-2010 : proceedings of  the multi-agent logics, languages, and organisations federated workshops 2010 2010BibTeX | DiVA ]
[50] R. Junges and F. Klügl. Learning convergence and agent behavior interpretation for designing agent-based simulations. 2010BibTeX | DiVA ]
[51] B. S. Onggo, L. Yilmaz, F. Klügl, T. Terano and C. M. MacAl. Credible Agent-Based Simulation : An Illusion or only A Step Away. In Proceedings : Winter Simulation Conference, pages 273-284, 2019BibTeX | DiVA ]
[52] C. Triebig and F. Klügl. Elements of a documentation framework for agent-based simulation models. Cybernetics and systems, 40(5):441-474, 2009BibTeX | DiVA ]
[53] F. Klügl. SeSAm : visual programming and participatory simulation for agent-based models. In Multi-agent systems : simulation and applications, pages 477-508, 2009BibTeX | DiVA ]
[54] F. Klügl and L. Karlsson. Towards Pattern-Oriented Design of Agent-Based Simulation Models. In MULTI-AGENT SYSTEM TECHNOLOGIES, PROCEEDINGS, pages 41-53, 2009BibTeX | DiVA ]
[55] R. Hatko and F. Klügl. A distributed simulation engine for a time-driven multi-agent simulation. In Summer computer simulation conference (SCSC), ADS track, pages 38-45, 2008BibTeX | DiVA ]
[56] F. Klügl. A validation methodology for agent-based simulations. In SAC '08 : Proceedings of the 2008 ACM symposium on applied computing (SAC), pages 39-43, 2008BibTeX | DiVA ]
[57] F. Klügl, R. Hatko and M. V. Butz. Agent learning instead of behavior implementation for simulations : a case study using classifier systems. In Multiagent System Technologies, pages 111-122, 2008BibTeX | DiVA ]
[58] C. Triebig and F. Klügl. Elements of an appropriate documentation framework for agent-based simulation models. 2008BibTeX | DiVA ]
[59] F. Klügl. Measuring complexity of agent-based simulation : an attempt using metrics. In Languages, methodologies and development tools for multi-agent systems : Revised selected and invited papers, pages 123-138, 2008BibTeX | DiVA ]
[60] C. Triebig and F. Klügl. Refactoring of agent-based simulation models. In Multikonferenz Wirtschaftsinformatik, MKWI 2008 : special track: multi-agent systems as middleware and architectures for business systems, pages 1421-1430, 2008BibTeX | DiVA ]
[61] A. L. C. Bazzan and F. Klügl. Re-routing agents in an abstract traffic scenario. In Advances in artificial intelligence : SBIA 2008, pages 63-72, 2008BibTeX | DiVA ]
[62] S. Timpf and F. Klügl. Räumliche Mobilität und KI. Künstliche Intelligenz, pages 5-7, 2008BibTeX | DiVA ]
[63] A. L. C. Bazzan, D. de Oliveira, F. Klügl and K. Nagel. To adapt or not to adapt : consequences of adapting driver and traffic light agents. In Adaptive agents and multi-agent systems III : adaptation and multi-agent learning : 5th, 6th, and 7th European Symposium,ALAMAS 2005-2007on Adaptive and Learning Agents and Multi-Agent Systems : revised selected papers, pages 1-14, 2008BibTeX | DiVA ]
[64] F. Klügl, G. Klubertanz and G. Rindsfüser. Agent-based pedestrian simulation of train evacuation integrating environmental data. In KI 2009 : advances in artificial intelligence, pages 631-638, 2009BibTeX | DiVA ]